{"id":"https://openalex.org/W4415708459","doi":"https://doi.org/10.1109/icme59968.2025.11209582","title":"ElimPCL: Eliminating Noise Accumulation with Progressive Curriculum Labeling for Source-Free Domain Adaptation","display_name":"ElimPCL: Eliminating Noise Accumulation with Progressive Curriculum Labeling for Source-Free Domain Adaptation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708459","doi":"https://doi.org/10.1109/icme59968.2025.11209582"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068760747","display_name":"Jie Cheng","orcid":"https://orcid.org/0000-0002-1507-0074"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Cheng","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057698640","display_name":"Hao Zheng","orcid":"https://orcid.org/0000-0002-5598-4348"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zheng","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080596183","display_name":"Meiguang Zheng","orcid":"https://orcid.org/0000-0001-8084-5203"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiguang Zheng","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722746","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-7901-8419"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068084181","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-0767-4177"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103398462","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-6055-0958"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.013899999670684338,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6944000124931335},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6200000047683716},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6198999881744385},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5774999856948853},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5644000172615051},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5455999970436096},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47859999537467957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4413999915122986},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.3750999867916107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175999879837036},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6944000124931335},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6200000047683716},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6198999881744385},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5644000172615051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609999895095825},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4413999915122986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4205000102519989},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.374099999666214},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.36239999532699585},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3239000141620636},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W2149466042","https://openalex.org/W2962687275","https://openalex.org/W3021632667","https://openalex.org/W3119539601","https://openalex.org/W3132342572","https://openalex.org/W3177316921","https://openalex.org/W3198175382","https://openalex.org/W3203098462","https://openalex.org/W4285235155","https://openalex.org/W4293794966","https://openalex.org/W4312283073","https://openalex.org/W4312399508","https://openalex.org/W4360584643","https://openalex.org/W4376875099","https://openalex.org/W4382240061","https://openalex.org/W4382318579","https://openalex.org/W4385153796","https://openalex.org/W4385647259","https://openalex.org/W4387341203"],"related_works":[],"abstract_inverted_index":{"Source-Free":[0],"Domain":[1],"Adaptation":[2],"(SFDA)":[3],"aims":[4],"to":[5,17,48,101,118,144,152],"train":[6],"a":[7,21,84,108,145],"target":[8],"model":[9,31],"without":[10],"source":[11,23,30],"data,":[12],"and":[13,57],"the":[14,29,72,77,115,120,127,138],"key":[15],"is":[16,112],"generate":[18],"pseudo-labels":[19,36,51],"using":[20],"pre-trained":[22],"model.":[24],"However,":[25],"we":[26,82],"observe":[27],"that":[28],"often":[32],"produces":[33],"highly":[34],"uncertain":[35],"for":[37],"hard":[38,123],"samples,":[39,124],"particularly":[40],"those":[41],"heavily":[42],"affected":[43],"by":[44],"domain":[45],"shifts,":[46],"leading":[47],"these":[49],"noisy":[50,130],"being":[52],"introduced":[53],"even":[54],"before":[55],"adaptation":[56],"further":[58],"reinforced":[59],"through":[60,69],"parameter":[61],"updates.":[62],"Additionally,":[63],"they":[64],"continuously":[65],"influence":[66],"neighbor":[67],"samples":[68,96,104,131],"propagation":[70],"in":[71,114],"feature":[73,116],"space.":[74],"To":[75],"eliminate":[76],"issue":[78],"of":[79,122,129,140],"noise":[80],"accumulation,":[81],"propose":[83],"novel":[85],"Progressive":[86],"Curriculum":[87],"Labeling":[88],"(ElimPCL)":[89],"method,":[90],"which":[91],"iteratively":[92],"filters":[93],"trustworthy":[94],"pseudo-labeled":[95],"based":[97],"on":[98,132,148],"prototype":[99],"consistency":[100],"exclude":[102],"high-noise":[103],"from":[105],"training.":[106],"Furthermore,":[107],"Dual":[109],"MixUP":[110],"technique":[111],"designed":[113],"space":[117],"enhance":[119],"separability":[121],"thereby":[125],"mitigating":[126],"interference":[128],"their":[133],"neighbors.":[134],"Extensive":[135],"experiments":[136],"validate":[137],"effectiveness":[139],"ElimPCL,":[141],"achieving":[142],"up":[143],"3.4%":[146],"improvement":[147],"challenging":[149],"tasks":[150],"compared":[151],"state-of-the-art":[153],"methods.":[154]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}
